A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Probabilistic Design of Sustainable Reinforced Concrete Infrastructure Repairs Using SIPmath
The design, construction, and operation of civil infrastructure that is more environmentally, socially, and economically responsible over its life cycle from extraction of raw materials to end of life is increasingly desirable worldwide. This paper presents a probabilistic framework for the design of civil infrastructure that achieves targeted improvements in quantitative sustainability indicators. The framework consists of two models: (i) probabilistic service life prediction models for determining the time to repair, and (ii) probabilistic life cycle assessment (LCA) models for measuring the impact of a repair. Specifically, this paper introduces a new mathematical approach, SIPmathTM, to simplify this design framework and potentially accelerate adoption by civil infrastructure designers. A reinforced concrete bridge repair in Norway is used as a case study to demonstrate SIPmath implementation. The case study shows that SIPmath allows designers to engage in sustainable design using probabilistic methods using the native, user-friendly Microsoft Excel interface. Methods are developed through this case study to determine the probability of failure of a more sustainable design compared to a baseline design, and these methods are then verified using alternative software and approach.
Probabilistic Design of Sustainable Reinforced Concrete Infrastructure Repairs Using SIPmath
The design, construction, and operation of civil infrastructure that is more environmentally, socially, and economically responsible over its life cycle from extraction of raw materials to end of life is increasingly desirable worldwide. This paper presents a probabilistic framework for the design of civil infrastructure that achieves targeted improvements in quantitative sustainability indicators. The framework consists of two models: (i) probabilistic service life prediction models for determining the time to repair, and (ii) probabilistic life cycle assessment (LCA) models for measuring the impact of a repair. Specifically, this paper introduces a new mathematical approach, SIPmathTM, to simplify this design framework and potentially accelerate adoption by civil infrastructure designers. A reinforced concrete bridge repair in Norway is used as a case study to demonstrate SIPmath implementation. The case study shows that SIPmath allows designers to engage in sustainable design using probabilistic methods using the native, user-friendly Microsoft Excel interface. Methods are developed through this case study to determine the probability of failure of a more sustainable design compared to a baseline design, and these methods are then verified using alternative software and approach.
Probabilistic Design of Sustainable Reinforced Concrete Infrastructure Repairs Using SIPmath
Melissa Zirps (author) / Michael Lepech (author) / Sam Savage (author) / Alexander Michel (author) / Henrik Stang (author) / Mette Geiker (author)
2020
Article (Journal)
Electronic Resource
Unknown
Metadata by DOAJ is licensed under CC BY-SA 1.0
Probabilistic Design of Sustainable Reinforced Concrete Infrastructure Repairs Using SIPmath
| BASE | 2020
Probabilistic Design of Sustainable Reinforced Concrete Infrastructure Repairs Using SIPmath
| BASE | 2020